Postdoc / Research Engineer / PhD candidate (Acoustic Heart Failure Monitoring: Multimodal and Clinical Integration)

TUM CREATE LIMITED

D05 Pasir Panjang, Hong Leong Garden, Clementi New Town, 1 CREATE WAY 138602
Sgd 6,200 - 8,200 / monthly pm
On-site
Deep learning
Machine learning
Sound engineering
About TUMCREATE TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are partnering with universities, public agencies, and industry to advance future technologies. The HEARTwise project is a public-private research initiative funded by Singapore's National Research Foundation, bringing together clinical cardiologists (CADENCE / NUHS, NHCS),engineers from TUM and TUMCREATE, and MedTech partners. The project develops a multimodal platform for non-invasive, early decompensation detection inambulant HF patients – combining wearable mobility sensing, heart and lung sound recognition, and integration with additional digital biomarker sources. As a member of the HEARTwise team, you will collaborate within an interdisciplinary consortium comprising leading experts in cardiology, telemedicine, biomedical engineering, acoustics, data privacy, and industry. Please visit www.tum-create.edu.sg for more information about TUMCREATE. Background & Scientific Context Heart failure (HF) affects 2.5% of Singapore's population and is the leading cardiac cause of hospital admission – presenting a decade earlier and more aggressively than in Europe or North America. The 30% rehospitalization rate within 90 days of discharge is both a major clinical burden and a window of opportunity for early, data-driven intervention. Job Summary We are seeking a highly motivated and skilled researcher with proven expertise in signal processing, in user or patient research studies, and in creating software for participant testing. You will collaborate with clinicians and be responsible for audio data collection of heart and lung sounds in the clinic, for creating an annotated database, and for validating sound classification prototypes in a pilot clinical diagnostic study. You will work on prototype algorithms for classification of heart and lung sounds and develop approach

Job Summary

  • About TUMCREATE TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE)
  • We are partnering with universities, public agencies, and industry to advance future technologies
  • sg for more information about TUMCREATE

Matching Summary

Match Score: 75

About TUMCREATE TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are partnering with universities, public agencies, and industry to advance future technologies. The HEARTwise project is a public-private research initiative funded by Singapore's National Research Foundation, bringing together clinical cardiologists (CADENCE / NUHS, NHCS),engineers from TUM and TUMCREATE, and MedTech partners. The project develops a multimodal platform for non-invasive, early decompensation detection inambulant HF patients – combining wearable mobility sensing, heart and lung sound recognition, and integration with additional digital biomarker sources. As a member of the HEARTwise team, you will collaborate within an interdisciplinary consortium comprising leading experts in cardiology, telemedicine, biomedical engineering, acoustics, data privacy, and industry. Please visit www.tum-create.edu.sg for more information about TUMCREATE. Background & Scientific Context Heart failure (HF) affects 2.5% of Singapore's population and is the leading cardiac cause of hospital admission – presenting a decade earlier and more aggressively than in Europe or North America. The 30% rehospitalization rate within 90 days of discharge is both a major clinical burden and a window of opportunity for early, data-driven intervention. Job Summary We are seeking a highly motivated and skilled researcher with proven expertise in signal processing, in user or patient research studies, and in creating software for participant testing. You will collaborate with clinicians and be responsible for audio data collection of heart and lung sounds in the clinic, for creating an annotated database, and for validating sound classification prototypes in a pilot clinical diagnostic study. You will work on prototype algorithms for classification of heart and lung sounds and develop approach

Salary

SGD 6,200 - 8,200 / Monthly

Skills & Requirements

Must-have

  • Deep Learning
  • Machine Learning
  • Sound Engineering
  • Physics
  • Clinical Data Management

Nice-to-have

  • Artificial Intelligence
  • Computer Science
  • Biomedical Engineering
  • Clinical Study
  • Human Factors Engineering
  • DBMS
  • Electrical Engineering
  • Technical Verification
  • Cardiology

Key Requirements

  • Minimum 1 years experience

Work Rights

Tailored Resume

Cover Letter